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Integrating Fossil Flowers into the Angiosperm Phylogeny Using Molecular and Morphological Evidence.
- Source :
-
Systematic biology [Syst Biol] 2023 Aug 07; Vol. 72 (4), pp. 837-855. - Publication Year :
- 2023
-
Abstract
- Fossils are essential to infer past evolutionary processes. The assignment of fossils to extant clades has traditionally relied on morphological similarity and on apomorphies shared with extant taxa. The use of explicit phylogenetic analyses to establish fossil affinities has so far remained limited. In this study, we built a comprehensive framework to investigate the phylogenetic placement of 24 exceptionally preserved fossil flowers. For this, we assembled a new species-level data set of 30 floral traits for 1201 extant species that were sampled to capture the stem and crown nodes of all angiosperm families. We explored multiple analytical approaches to integrate the fossils into the phylogeny, including different phylogenetic estimation methods, topological-constrained analyses, and combining molecular and morphological data of extant and fossil species. Our results were widely consistent across approaches and showed minor differences in the support of fossils at different phylogenetic positions. The placement of some fossils agrees with previously suggested relationships, but for others, a new placement is inferred. We also identified fossils that are well supported within particular extant families, whereas others showed high phylogenetic uncertainty. Finally, we present recommendations for future analyses combining molecular and morphological evidence, regarding the selection of fossils and appropriate methodologies, and provide some perspectives on how to integrate fossils into the investigation of divergence times and the temporal evolution of morphological traits. [Angiosperms; fossil flowers; phylogenetic uncertainty; RoguePlots.].<br /> (© The Author(s) 2023. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
Details
- Language :
- English
- ISSN :
- 1076-836X
- Volume :
- 72
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Systematic biology
- Publication Type :
- Academic Journal
- Accession number :
- 36995161
- Full Text :
- https://doi.org/10.1093/sysbio/syad017